LumiQ-Lead Data Scientist

Primary Skills :Cloud (AWS, Azure, GCP), Python, GenAI, Keras, TensorFlow, scikit-learn, XGBoost, Neural Networks, Apache Pyspark, Random Forest model, Machine Learning, AI / ML, PyTorch, SQL

Requirements:

Must have skills for Lead Data Scientist role:

Python - 2+ years

Panda - 2+ Years

Must have led one end to end project

Must have customer facing experience

This person will manage a project as a Tech Lead.

Must have experience working on ML Algorithm's including - Random Forest, XGBoost and Neural networks

Must have Frameworks:

Scikit Learn

Any 1 of these 3 is a requirement. Pytorch/Keras/ TensorFlow

Candidate must have worked on atleast 1 end to end machine learning project

Basic SQL is Mand

Job Description

Position: Lead Data Scientist

Experience Level: 3 - 5 years

Job Summary:

We are seeking a Sr. Data Scientist to join our team to analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions.

Key Responsibilities

Data Analysis & Exploration

Perform comprehensive exploratory data analysis (EDA) on large datasets.

Identify patterns, trends, and anomalies in data.

Conduct statistical analysis to validate business hypotheses.

Create data visualizations to communicate findings effectively.

Assess and ensure data quality and integrity.

Write complex SQL queries to extract and manipulate data

Machine Learning & Modeling

Design and develop machine learning models for business problems like (XG Boost, Logistic Regression, DNN, RNN etc)

Implement supervised and unsupervised learning algorithms

Perform feature engineering and selection

Evaluate model performance using appropriate metrics

Deploy and monitor machine learning models in production

Programming & Development

Develop data analysis scripts and automation tools using Python

Build data pipelines and ETL processes

Create reusable code libraries and functions

Maintain version control and documentation standards

Required Qualifications

Technical Skills

SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization

Python: Strong programming skills in Python for data analysis and machine learning

Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization

Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques

Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design

Knowledge of any cloud like AWS, GCP or Azure is good to have

Familiarity with version control systems

Experience with containerization and deployment tools

Good to Have:-

Worked on GenAI based Projects

Using GenAI for driving productivity in your work.